Release Notes New Features Support for Multi-Model Tuning: Added support for tuning multiple models using the tuner functionality, enhancing flexibility in hyperparameter optimization. [Commit: 560dec6] Multi-Target Classification: Introduced multi-target classification capabilities, expanding the library's support for more complex use cases. [Commit: 25691f5] dataloader_kwargs in DataConfig: Added support for customizing dataloader_kwargs in the DataConfig module for improved data-loading flexibility. [Commit: caa3ea1] Enhancements Improved Informative str and repr: Added more informative str and repr methods to enhance debugging and readability of objects. [Commit: 495803c] Bug Fixes for Categorical Dtype: Fixed issues with Categorical data type handling to ensure smoother model training and predictions. [Commit: cf1454a] Removed Restrictions on Missing and Unknown Values: Enhanced the framework to handle missing and unknown values more robustly. [Commit: fc6060e] Protection Against Misuse of MDN Head: Added safeguards to prevent improper usage of the MDN Head in models. [Commit: cc3504a] Bug Fixes Fixed an SSL finetuning bug to ensure secure operations during model fine-tuning. [Commit: 3d978f9] Fixed errors in saving and loading custom loss functions to enhance reproducibility and reliability. [Commit: 3f0a15c] Addressed a bug in cross-validation, ensuring accurate evaluation metrics. [Commit: 0d088fc] Fixed a KeyError issue with nn.activation in Tab Transformer and FT Transformer models. [Commit: 11adefa] Other Improvements Multiple pre-commit configuration updates and enhancements for code linting and formatting. [Commits: f354b9c, 75b21c4, a890dda] Various CI improvements, including dependency bump for gh-action-pypi-publish and caching updates. [Commits: cb78a6e, e49a999, da20ed3] Fixed typos and minor issues in documentation and code for improved clarity and maintainability. [Commits: 7285787, 6586705] For more details, you can refer to the respective commits on the library's GitHub repository. New Contributors @furyhawk made their first contribution in https://github.com/manujosephv/pytorch_tabular/pull/382 @HernandoR made their first contribution in https://github.com/manujosephv/pytorch_tabular/pull/410 @charitarthchugh made their first contribution in https://github.com/manujosephv/pytorch_tabular/pull/420 @abhisharsinha made their first contribution in https://github.com/manujosephv/pytorch_tabular/pull/455 @YonyBresler made their first contribution in https://github.com/manujosephv/pytorch_tabular/pull/441 @snehilchatterjee made their first contribution in https://github.com/manujosephv/pytorch_tabular/pull/492 Full Changelog: https://github.com/manujosephv/pytorch_tabular/compare/v1.1.0...v1.1.1